Determining Effects of Tropical Cyclones to Rice and Corn Production in Eastern Samar Philippines an Association Rule Mining Application
Niel Francis B. Casillano
Niel Francis B. Casillano, Department of Information Technology, College of Computer Studies, Eastern Samar State University, Philippines.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1164-1166 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6603068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The primary aim of the study is to employ a data mining technique, specifically association rule mining in determining the effects of tropical cyclones to the rice and corn production in Eastern Samar, Philippines. The researcher utilized the exploratory research design, which started with the pre-processing of data, application of association rule mining and ultimately the development of a theory. It was determined that the number of tropical cyclones affects the rice and corn production in Eastern Samar. The analysis shows that although Eastern Samar receives many cyclones annually there is still an increase in rice and corn production. The results can be used as inputs in the development of new strategies for the province to improve its rice and corn production.
Keyword: Data mining, Association rule mining, itemset, Tropical cyclone, Knowledge discovery.
Scope of the Article: RFID Network and Applications.